Skip Nav Destination
ASME Press Select Proceedings
International Conference on Advanced Computer Theory and Engineering, 5th (ICACTE 2012)
Editor
ISBN:
9780791860045
No. of Pages:
938
Publisher:
ASME Press
Publication date:
2012
eBook Chapter
106 Safety Prediction of Weapon System with Environment Factors Based on Neural Network Ensemble
By
Page Count:
10
-
Published:2012
Citation
Yao, Y, Liu, BJ, Wang, CJ, & Huang, Y. "Safety Prediction of Weapon System with Environment Factors Based on Neural Network Ensemble." International Conference on Advanced Computer Theory and Engineering, 5th (ICACTE 2012). Ed. Yi, X. ASME Press, 2012.
Download citation file:
environment is important factor that influences the safety of missile system. To satisfy the request of safety prediction of weapon system, the paper adopts neural network ensemble to the environment safety prediction. The input of neural network ensemble is environment factors (temperature and its variety rate, humidity and its variety rate), and the output is the result of safety evaluation. Based on the request of weapon system environment safety, virtual sample was produced because of lacking train sample. According to the simulation result, the neural network ensemble can predict the environment safety missile effectively.
This content is only available via PDF.
You do not currently have access to this chapter.
Email alerts
Related Chapters
From Crime Scene to the Laboratory
Non-Proliferation Nuclear Forensics: Canadian Perspective
Introduction
Non-Proliferation Nuclear Forensics: Canadian Perspective
Piston Aeroengines
Turbo/Supercharger Compressors and Turbines for Aircraft Propulsion in WWII: Theory, History and Practice—Guidance from the Past for Modern Engineers and Students
The Nuclear and Related Industry
Decommissioning Handbook
Related Articles
Cutting With High-Pressure Ammonia Jets for Demilitarization of Chemical Weapons
J. Pressure Vessel Technol (November,2002)
Dynamic Modeling and Design of a Bulk-Loaded Liquid Monopropellant Powered Rifle
J. Dyn. Sys., Meas., Control (November,2008)
Hydraulic Testing of Ordnance Components
J. Pressure Vessel Technol (May,2006)